Determination of the Thermal Insulation for the Model Building Approach and the Global Effects in Turkey

Abstract

One of the most important considerations to be considered in the design of energy efficient buildings is the thickness of the insulation to be applied to the building. In this study the existing building stock in Turkey has been investigated depending on parameters such as the height and the area. A model building has been created covering all of these buildings. Fuel emission reduction of combustion system was calculated in the case of insulation applied to this model building. Heat loss of the existing building stock and exhaust emissions and the contribution to the country's economy with the model building methodology are also determined. The results show that the optimum insulation thicknesses vary between 3.21 and 7.12 cm, the energy savings vary between 9.23 US$/m 2 and 43.95 US$/m 2 , and the payback periods vary between 1 and 8.8 years depending on the regions. As a result of the study when the optimum insulation thickness is applied in the model building, the total energy savings for the country are calculated to be 41.7 billion US$. And also total CO 2 emissions for the country are calculated to be 57.2 billion kg CO 2 per year after insulation.

Investigation of efficient parameters on optimum insulation thickness based on theoretical‐Taguchi combined method

“…They found that expanded polystyrene is the most economic insulation material of the five insulation material [9]. He found that OIT change in the range of 3.21 and 7.12 cm, the energy savings change among 9.23 and 43.95 $/m 2 , and the payback periods vary between 1 and 8.8 years, depending on the regions [20]. Hasan investigated OIT for Palestine.…”

“…Onan investigated the OIT according to building height and area in Turkey. He found that OIT change in the range of 3.21 and 7.12 cm, the energy savings change among 9.23 and 43.95 $/m 2 , and the payback periods vary between 1 and 8.8 years, depending on the regions [20]. Kon and Yuksel made measurements and calculations to reduce heat loss on the roof, base and exterior walls of a multistorey building.…”

Integration of Energy Simulations and Life Cycle Assessment in Building Refurbishment: An Affordability Comparison of Thermal Insulation Materials through a New Sustainability Index

“…The EESI was defined by considering and combining EPBT and CPBT through normalization and weighting. In particular, average values of EPBT and CPBT estimated on the basis of previous literature [44][45][46][47][48][49][50][51][52][53][54] were used for normalization (3.20 years for EPBT and 3.65 years for CPBT) and each payback was properly weighted through two coefficients varying in the range 0-1 (w EPBT and w CPBT ) that take into account the importance given to economic and environmental aspects in insulation material choice. It is evident that a value of the weighting coefficient equal to 0 means neglecting the specific aspect, while a value equal to 1 means a 100% significance given to the specific aspect and also that the coefficients can be arbitrarily varied within the range 0-1 to reflect the relevance given to each one of the aspects in the choice.…”

Analysis of optimum insulation thickness for external walls at different orientations based on real-time measurements

“…They included the effects of solar radiation on the outdoor temperatures in their calculations, and considered the heating and cooling energy requirements together for an optimization of the heat insulation thickness. Onan [15] investigated the existing building stock in Turkey depending on such parameters as the height and area. A model building was created covering all of these buildings.…”